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Analysis and recognition of human actions with flow features and temporal models
| Analysis and recognition of human actions with flow features and temporal models |
| Autore | Kühne Hildegard |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2014 |
| Descrizione fisica | 1 electronic resource (XV, 183 p. p.) |
| Soggetto non controllato |
Videoanalyse
motion features generative ModelleAction recognition generative models Bewegungsmerkmale Bewegungserkennung video analysis |
| ISBN | 1000043583 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910347048203321 |
Kühne Hildegard
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| KIT Scientific Publishing, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Computer Vision in Automation and Robotics
| Applications of Computer Vision in Automation and Robotics |
| Autore | Okarma Krzysztof |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (186 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
machine vision
defect inspection image registration feature region contour point distribution edge gradient direction augmented reality calibration head mounted displays optical see-through display computer vision infrared pedestrian detection encoder-decoder attention convolutional neural network deep learning domain adaptation semantic segmentation generative adversarial networks convolutional neural networks aerial imagery image processing fertilizers distribution monitoring component association part recognition feature descriptor histogram feature subset selection industrial objects sorting k-NN algorithm transparent plastic granulate recycling air nozzles additive manufacturing 3D prints surface quality assessment image analysis combined metrics structural similarity video analysis visual inspection and diagnostics industrial and robotic vision systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557644803321 |
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Okarma Krzysztof
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioinformatics Applications Based On Machine Learning
| Bioinformatics Applications Based On Machine Learning |
| Autore | Chamoso Pablo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
machine learning
metagenomics bioinformatics CTX-M data mining cluster clinical implications diabetes epidemiology forecast PART Decision table Weka real-life patients regression ear detection computer vision convolutional neural network image recognition video analysis gene clustering swarm intelligence biological functions detection informative genes fuel cell hydrogen energy intelligent systems hybrid systems Artificial Neural Networks power management Machine Learning personality assessment gradient boosting Affective Computing transposable elements metrics deep learning detection classification mitochondrial protein bi-directional LSTM plasmodium falciparum Particle Swarm Optimization Harmony Search parameter estimation Arabidopsis thaliana clinical data feature selection genetic programming evolutionary computation dynamic models evolutionary computing derivative-free optimization metabolism glycolysis yeast |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674055503321 |
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Chamoso Pablo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sports Medicine and Physical Fitness
| Sports Medicine and Physical Fitness |
| Autore | Thomas Ewan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (354 p.) |
| Soggetto topico | Lifestyle, sport & leisure |
| Soggetto non controllato |
MotoGP
video analysis collision accident safety disability tool health life span physical fitness reference values muscular strength profile quadriceps hamstring H/Q ratio total work sprint postactivation potentiation fixed seat rowing performance psychology odontology nutrition training stress running type 1 diabetes high-intensity interval training exercise VO2max anti-inflammatory machine learning PCA intensive training proprioception postural sway testing pacing cycling time trial RPE cognitive functions aging partnered dances fall prevention physical activity water polo biomechanics force-velocity relationship power-velocity relationship soccer match internal load external load fatigue young athletes cycling performance sport nutrition hydration PA MVPA accelerometer questionnaire children athlete high-intensity functional training cross-training functional fitness vitamin D explosive strength overload training wrist pain injury prevention overuse sitting position modified 505 test kinetic variables completion time foot contact predictors squat bench press strength speed interval training continuous training heart failure meta-analysis handgrip carpi radialis flexor digitorum superficialis neuromuscular fatigue motorcycle recovery spike jump block jump critical threshold specialization anaerobic power peak power HIFT, high-intensity functional training crossfit athletes field test hypertrophy katsu low-intensity training occlusive exercise sarcopenia diabetes type 1 HIIT sleep quality exercise motivation quality of life hypoxia hyperoxia hyperbaric breathing nitric oxide vascular reactions breathing extreme environments |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566468903321 |
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Thomas Ewan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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